Creating Process Mining Model: Difference between revisions

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This article describes how to create a process mining model in QPR ProcessAnalyzer from CSV files. Data can also be loaded in differences sources using a [[QPR_ProcessAnalyzer_Model_Datasources#Loading_Script|loading script]] or an [[QPR_ProcessAnalyzer_Model_Datasources#ODBC_Datasource|ODBC query]].
This article describes how to create a process mining model in QPR ProcessAnalyzer from CSV files. To create a model, you need two datatables (one for the events and one for the case attributes) and the model entity. The case attributes are not mandatory so the cases datatable is optional.


As an overview, following entities need to be defined for a model:
Here are the steps how to create a model:
# Datatable for events (eventlog)
# Go to the [[QPR_ProcessAnalyzer_Project_Workspace|Workspace]] by clicking the QPR ProcessAnalyzer icon in the top left.
# Datatable for case attributes (Case attributes are not mandatory, so this is optional.)
# Create a new project by clicking '''NEW''' -> '''Project'''.
# Model using these datatables
# When you are in the project, click '''NEW''' -> '''Datatable'''. Define a name for the datatable.
 
Here are the step-by-step instructions how to create a model:
# Go to the [[QPR_ProcessAnalyzer_Project_Workspace|Workspace]] by clicking the QPR icon in top left.
# Create a new project by clicking '''NEW''' -> '''Project'''. (You can also use an existing project.)
# When you are in the target project, click '''NEW''' -> '''Datatable'''. Define a name for the datatable.
# Select the created datatable and click '''Import'''.
# Select the created datatable and click '''Import'''.
# Select a CSV file, adjust settings for the file and click '''Start import'''. (If you don't have any data available, you can try out the [[Sample_Eventlog_Files|sample files]]).
# Select a CSV file, adjust settings for the file and click '''Start import'''. (If you don't have data available, you can try out the [[Sample_Eventlog_Files|sample files]]).
# For the case attributes data, create another new datatable and import data to it. (This is optional, as case attributes are not mandatory to create a model.)
# Optional: For the case attributes data, create another new datatable and import data to it.
# To create the model entity, click '''NEW''' -> '''Model''' and define a name for the model.
# To create the model entity, click '''NEW''' -> '''Model''' and define a name for the model.
# Select the model and click '''Model Properties'''.  
# Select the created model and click '''Properties'''.  
# Open the '''Cases datasource''' tab, where to select the cases datatable, and the column that contains the case id.
# In the Model Properties dialog, open the '''Events datasource''' tab, where to select the events datatable and the columns that contain the case id, event type and event timestamp.
# Open the '''Events datasource''' tab, where to select the events datatable and the columns that contain the case id, event type and event timestmap.
# Optional: Open the '''Cases datasource''' tab, where to select the cases datatable and the column that contains the case id.
# Click the '''Save''' button to close the dialog.
# Click the '''Save''' button to close the dialog.
# The model has now been created! You can start analysis by double-clicking the model, which will go to the '''Process Discovery''' view.
# The model has now been created! You can start analysis by double-clicking the model, which will go to the '''Process Discovery''' view.

Latest revision as of 08:59, 3 October 2024

This article describes how to create a process mining model in QPR ProcessAnalyzer from CSV files. To create a model, you need two datatables (one for the events and one for the case attributes) and the model entity. The case attributes are not mandatory so the cases datatable is optional.

Here are the steps how to create a model:

  1. Go to the Workspace by clicking the QPR ProcessAnalyzer icon in the top left.
  2. Create a new project by clicking NEW -> Project.
  3. When you are in the project, click NEW -> Datatable. Define a name for the datatable.
  4. Select the created datatable and click Import.
  5. Select a CSV file, adjust settings for the file and click Start import. (If you don't have data available, you can try out the sample files).
  6. Optional: For the case attributes data, create another new datatable and import data to it.
  7. To create the model entity, click NEW -> Model and define a name for the model.
  8. Select the created model and click Properties.
  9. In the Model Properties dialog, open the Events datasource tab, where to select the events datatable and the columns that contain the case id, event type and event timestamp.
  10. Optional: Open the Cases datasource tab, where to select the cases datatable and the column that contains the case id.
  11. Click the Save button to close the dialog.
  12. The model has now been created! You can start analysis by double-clicking the model, which will go to the Process Discovery view.
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